Topological Shape Optimization Scheme for Nonlinear Structures Based on Artificial Bee Colony Algorithm

  • 김용호
  • 한석영

초록

This paper suggests a topological shape optimization scheme for nonlinear structures considering geometrically, materially and both geometrically and materially nonlinear cases based on an artificial bee colony algorithm (ABCA). To perform a topological shape optimization of nonlinear problems, a variable called “Improved Boundary Element Indicator (IBEI)” is introduced to define the boundary elements in each iteration. Typical examples consider three kinds of nonlinear cases, and it can be verified that the IBEI is suitable for topological shape optimization for linear and nonlinear structures. It can then be found that the suggested method can naturally create holes in the structure without any initial holes or topological sensitivity, although only the boundary elements are optimized. Finally, we conclude that convergence rate of the suggested ABCA is improved to more than 60% of the discrete level set method (LSM) and 5% of the ABCA for topology optimization (except for the geometrically nonlinear case).

키워드

Artificial bee colony algorithmTopological shape optimizationNonlinear structuresBoundary elements
제목
Topological Shape Optimization Scheme for Nonlinear Structures Based on Artificial Bee Colony Algorithm
저자
김용호한석영
DOI
10.7735/ksmte.2018.27.4.329
발행일
2018-08
저널명
한국생산제조학회지
27
4
페이지
329 ~ 338